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A Novel AHP-PRISM Risk Assessment Method—An Empirical Case Study in a Nuclear Power Plant

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  • Ferenc Bognár

    (Department of Management and Business Economics, Budapest University of Technology and Economics, Magyar Tudósok Körútja 2, H-1117 Budapest, Hungary)

  • Petra Benedek

    (Department of Management and Business Economics, Budapest University of Technology and Economics, Magyar Tudósok Körútja 2, H-1117 Budapest, Hungary)

Abstract

Risk assessment methods are a continuously developing field in research and practice. Multi-Criteria Decision-Making (MCDM) methods, like AHP (Analytic Hierarchy Process), have a significant role in traditional risk assessment development. The PRISM (Partial Risk Map) methodology is a novel risk assessment method aiming at safety and reliability-sensitive operational fields. Since the PRISM method initially applies deterministic evaluation scales just like many traditional risk assessment techniques, this research focuses on developing the PRISM method by combining it with AHP. Thus, the new AHP-PRISM method can create more sensitive rankings than the original method, and the consistency of the expert group can also be tested after the assessment. By applying the consistency test, the reliability of the assessment can be described, which is necessary for a safety culture environment. Based on a real-life case study in a nuclear power plant (NPP), the new AHP-PRISM method is tested.

Suggested Citation

  • Ferenc Bognár & Petra Benedek, 2022. "A Novel AHP-PRISM Risk Assessment Method—An Empirical Case Study in a Nuclear Power Plant," Sustainability, MDPI, vol. 14(17), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:11023-:d:906075
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    1. Ievgen Babeshko & Oleg Illiashenko & Vyacheslav Kharchenko & Kostiantyn Leontiev, 2022. "Towards Trustworthy Safety Assessment by Providing Expert and Tool-Based XMECA Techniques," Mathematics, MDPI, vol. 10(13), pages 1-25, June.
    2. Bizet, Romain & Bonev, Petyo & Lévêque, François, 2022. "The effect of local monitoring on nuclear safety and compliance: Evidence from France," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    3. László Berényi & Zoltán Birkner & Nikolett Deutsch, 2020. "A Multidimensional Evaluation of Renewable and Nuclear Energy among Higher Education Students," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    4. David Ruiz Bargueño & Valerio Antonio Pamplona Salomon & Fernando Augusto Silva Marins & Pedro Palominos & Luis Armando Marrone, 2021. "State of the Art Review on the Analytic Hierarchy Process and Urban Mobility," Mathematics, MDPI, vol. 9(24), pages 1-13, December.
    5. Borysiewicz, Mieczysław & Kowal, Karol & Potempski, Sławomir, 2015. "An application of the value tree analysis methodology within the integrated risk informed decision making for the nuclear facilities," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 113-119.
    6. Ildar Z. Batyrshin & Edit Tóth-Laufer, 2022. "Bipolar Dissimilarity and Similarity Correlations of Numbers," Mathematics, MDPI, vol. 10(5), pages 1-16, March.
    7. Cinelli, Marco & Kadziński, Miłosz & Gonzalez, Michael & Słowiński, Roman, 2020. "How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy," Omega, Elsevier, vol. 96(C).
    8. Vargas, Luis G., 1990. "An overview of the analytic hierarchy process and its applications," European Journal of Operational Research, Elsevier, vol. 48(1), pages 2-8, September.
    9. Huang, Jia & You, Jian-Xin & Liu, Hu-Chen & Song, Ming-Shun, 2020. "Failure mode and effect analysis improvement: A systematic literature review and future research agenda," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    10. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    11. Ming Sun & Taosheng Li & Jie Yu & Daochuan Ge & Ying Bai & Longlong Tao, 2022. "A New Reliability Allocation Method Based on PSA and AHP for Fusion Reactors," Energies, MDPI, vol. 15(13), pages 1-10, July.
    12. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    13. Romain Bizet & Petyo Bonev & François Lévêque, 2022. "The effect of local monitoring on nuclear safety and compliance: Evidence from France," Post-Print hal-03626810, HAL.
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    2. Heino Pesch & Louis Louw, 2023. "Exploring the Industrial Symbiosis Potential of Plant Factories during the Initial Establishment Phase," Sustainability, MDPI, vol. 15(2), pages 1-30, January.

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